{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b08b9110-51d5-4143-b8a3-baa31244ee56",
   "metadata": {},
   "source": [
    "## 项目背景\n",
    "\n",
    "电商与新零售是目前大数据与AI应用最广泛的场景之一，本案例以跨国在线零售业务为背景，要求学生使用pyspark与Hive对HDFS存储的数据进行数据分析"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "162507b1-f289-401d-be6e-6a2d15cab1b7",
   "metadata": {},
   "source": [
    "## 1. 环境搭建\n",
    "\n",
    "本次作业依赖的环境如下：\n",
    "\n",
    "> - （1）Hive + Hadoop 环境\n",
    "> - （2）PySpark 环境\n",
    "\n",
    "[docker 部署文件下载](https://gitee.com/y19941115mx/docker-software)\n",
    "[本地环境搭建教程](\n",
    "https://www.kdocs.cn/l/cfxhUKS7PLK)"
   ]
  },
  {
   "attachments": {
    "4989ef83-f4f2-41f5-a315-b22179f9545b.png": {
     "image/png": 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"
    }
   },
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   "id": "bef6f050-24ab-4cb3-8f40-cc58835f452d",
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   "source": [
    "## 2. 数据集上传\n",
    "\n",
    "本案例的数据集来自Kaggle平台，是跨国在线零售业务交易数据，大家可以通过如下的百度网盘地址下载。\n",
    "\n",
    "> **数据集和源代码下载（夸克网盘）**  \n",
    "> 链接： [https://pan.quark.cn/s/6f1789e9d6c1](https://pan.quark.cn/s/6f1789e9d6c1)  \n",
    "\n",
    "这是一家在英国注册的公司，主要销售礼品。数据集 `E_Commerce_Data.csv` 包含541909条记录，时间跨度为2010-12-01到2011-12-09，每个记录由8个属性组成，具体的含义如下表所示：\n",
    "\n",
    "| 字段名称 | 类型 | 含义 | 举例 |\n",
    "| --- | --- | --- | --- |\n",
    "| InvoiceNo | string | 订单编号（退货订单以C开头） | 536365 |\n",
    "| StockCode | string | 产品代码 | 85123A |\n",
    "| Description | string | 产品描述 | WHITE METAL LANTERN |\n",
    "| Quantity | integer | 购买数量（负数表示退货） | 6 |\n",
    "| InvoiceDate | string | 订单日期和时间 | 12/1/2010 8:26 |\n",
    "| UnitPrice | double | 单价（英镑） | 3.39 |\n",
    "| CustomerID | integer | 客户编号 | 17850 |\n",
    "| Country | string | 国家名称 | United Kingdom |\n",
    "\n",
    "我们需要将该数据集 `E_Commerce_Data.csv` 上传至hdfs上\n",
    "\n",
    "\n",
    "首先需要将本地下载的文件拷贝到hdfs的namenode对应的容器中，在E_Commerce_Data.csv的下载路径下打开命令行，执行如下命令：\n",
    "\n",
    "```\n",
    "docker cp E_Commerce_Data.csv hadoop-hdfs-nn:/opt/apache\n",
    "```\n",
    "\n",
    "此外也可以通过docker挂载本地文件夹的方式，将本地hive data文件夹同步到hdfs namenode容器的/opt/apache/data文件夹\n",
    "\n",
    "最后，进入hdfs namenode对应的容器终端，执行以下命令，将数据上传到HDFS中的/data文件夹下\n",
    "```\n",
    "hadoop fs -mkdir /data \n",
    "hdfs dfs -put E_Commerce_Data.csv /data\n",
    "```\n",
    "\n",
    "上传成功后的结果如下：\n",
    "\n",
    "![image.png](attachment:4989ef83-f4f2-41f5-a315-b22179f9545b.png)\n"
   ]
  },
  {
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"
    }
   },
   "cell_type": "markdown",
   "id": "1fb66a19-28d6-4eed-9c9a-bfe227b140a9",
   "metadata": {},
   "source": [
    "## 3. 使用Hive进行数据预处理\n",
    "\n",
    "由于原始数据中，顾客编号 `CustomID` 和商品描述 `Description` 均存在部分缺失，这里需要同学们使用Hive进行数据清洗，过滤掉有缺失值的记录。\n",
    "\n",
    "首先进入Hive的命令行终端：\n",
    "\n",
    "通过hdfs namenode 对应的容器终端 执行`hive`命令，进入hive终端以执行相对的Hive代码\n",
    "\n",
    "![image.png](attachment:22c6599e-67e7-4e35-8b70-35d5a85f795b.png)\n",
    "\n",
    "接下来的hive sql语句都可以在这个命令行中执行。\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff937db2-6538-4df4-92b4-f69be22aac1b",
   "metadata": {},
   "source": [
    "### 3.1 创建原始数据外部表\n",
    "首先，我们需要在Hive中创建一个外部表，用于映射HDFS上的原始CSV文件。假设原始CSV文件 `E_Commerce_Data.csv` 已经上传到HDFS的 `/data` 目录下。\n",
    "\n",
    "以下是创建外部表的Hive SQL语句：\n",
    "\n",
    "```sql\n",
    "CREATE EXTERNAL TABLE IF NOT EXISTS ecommerce_raw (\n",
    "    InvoiceNo STRING,\n",
    "    StockCode STRING,\n",
    "    Description STRING,\n",
    "    Quantity INT,\n",
    "    InvoiceDate STRING,\n",
    "    UnitPrice DOUBLE,\n",
    "    CustomerID INT,\n",
    "    Country STRING\n",
    ")\n",
    "ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.OpenCSVSerde'\n",
    "WITH SERDEPROPERTIES ('separatorChar' = ',', 'quoteChar' = '\\\"')\n",
    "STORED AS TEXTFILE\n",
    "LOCATION '/data'\n",
    "TBLPROPERTIES (\"skip.header.line.count\"=\"1\");\"1\" -- 跳过头部行不变\r\n",
    ");\n",
    "```\n",
    "\n",
    "**解释说明:**\n",
    "\n",
    "*   `CREATE EXTERNAL TABLE IF NOT EXISTS ecommerce_raw (...)`: 创建一个名为 `ecommerce_raw` 的外部表。`IF NOT EXISTS` 确保如果表已存在则不会报错。外部表的数据存储在HDFS的指定位置，删除表时只会删除表的元数据，不会删除HDFS上的数据。\n",
    "*   `(InvoiceNo STRING, ...)`: 定义表的列及其数据类型，与原始CSV文件的字段对应。\n",
    "*   `ROW FORMAT DELIMITED`: 指定行格式为分隔符格式。\n",
    "*   `FIELDS TERMINATED BY ','`: 指定字段之间使用逗号分隔。\n",
    "*   `STORED AS TEXTFILE`: 指定数据存储格式为文本文件。\n",
    "*   `LOCATION '/data'`: 指定外部表数据在HDFS上的存储**目录**为 `/data`。Hive将读取该目录下所有符合文件格式要求的文件作为表的数据源。\n",
    "*   `TBLPROPERTIES (\"skip.header.line.count\"=\"1\")`: 这是一个表属性，用于指定在读取数据时跳过文件的前N行。在这里设置为\"1\"是为了跳过CSV文件的标题行。对于文本文件格式，接下来文件头行的准方法。文件标题行。对于文本文件格式，这是跳过文件头行的标准方法。ine.co3nt\"=\"1\")`: 跳过CSV文件的第一行（标题行）。\n",
    "\n",
    "### 2.2 数据清洗\n",
    "\n",
    "接下来我们使用Hive对数据进行清洗，过滤 `CustomerID` 为0或 `Description` 为空的记录。在Hive中，我们可以通过 `WHERE` 子句来实现这一过滤。清洗后的数据将插入到一个新的内部表 `ecommerce_cleaned` 中。\n",
    "\n",
    "以下是清洗数据的Hive SQL语句：\n",
    "\n",
    "```sql\n",
    "CREATE TABLE IF NOT EXISTS ecommerce_cleaned (\n",
    "    InvoiceNo STRING,\n",
    "    StockCode STRING,\n",
    "    Description STRING,\n",
    "    Quantity INT,\n",
    "    InvoiceDate STRING,\n",
    "    UnitPrice DOUBLE,\n",
    "    CustomerID INT,\n",
    "    Country STRING\n",
    ");\n",
    "\n",
    "INSERT OVERWRITE TABLE ecommerce_cleaned\n",
    "SELECT\n",
    "    InvoiceNo,\n",
    "    StockCode,\n",
    "    Description,\n",
    "    Quantity,\n",
    "    InvoiceDate,\n",
    "    UnitPrice,\n",
    "    CustomerID,\n",
    "    Country\n",
    "FROM\n",
    "    ecommerce_raw\n",
    "WHERE\n",
    "    CustomerID IS NOT NULL AND CustomerID != 0 AND Description IS NOT NULL AND Description != '';\n",
    "```\n",
    "\n",
    "**解释说明:**\n",
    "\n",
    "*   `CREATE TABLE IF NOT EXISTS ecommerce_cleaned (...)`: 创建一个名为 `ecommerce_cleaned` 的内部表，用于存储清洗后的数据。内部表的数据由Hive管理，删除表时会同时删除HDFS上的数据。\n",
    "*   `INSERT OVERWRITE TABLE ecommerce_cleaned`: 将查询结果插入到 `ecommerce_cleaned` 表中，如果表已存在数据，则会覆盖原有数据。\n",
    "*   `SELECT ... FROM ecommerce_raw`: 从原始数据表 `ecommerce_raw` 中选择数据。\n",
    "*   `WHERE CustomerID IS NOT NULL AND CustomerID != 0 AND Description IS NOT NULL AND Description != ''`: 过滤条件。\n",
    "    *   `CustomerID IS NOT NULL AND CustomerID != 0`: 过滤掉 `CustomerID` 为NULL或0的记录。原案例中提到Spark读取时将空值解析要同时考虑LL和的情况。\n",
    "    *   `Description IS NOT NULL AND Description != ''`: 过滤掉 `Description` 为NULL或空字符串的记录。\n",
    "\n",
    "通过以上Hive SQL处理，我们完成了数据清洗的工作，得到了清洗后的交易数据并存储在Hive表中，方便后续的数据分析和挖掘。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f19e96ce-1dc2-4e10-be43-63e175263c0a",
   "metadata": {},
   "source": [
    "## 4. 使用PySpark进行数据分析\n",
    "\n",
    "基于零售交易数据案例使用pyspark连接Hive，读取之前清洗后的Hive数据表 `ecommerce_cleaned`，进行各项销售分析。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c749f56c-56d7-4cee-9c40-736e5cdd20df",
   "metadata": {},
   "source": [
    "### 4.1 初始化SparkSession并连接Hive\n",
    "\n",
    "首先，需要初始化SparkSession，并配置其能够连接到Hive。这通常需要在创建SparkSession时启用Hive支持，并配置hive metastore的地址。\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a7e966e9-f644-47c7-96ce-4d7903fa0d05",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyspark.sql import SparkSession\n",
    "\n",
    "spark_hive = SparkSession.builder \\\n",
    "    .appName(\"EcommerceDataAnalysisFromHive\") \\\n",
    "    .config(\"hive.metastore.uris\", r\"thrift://hive-metastore:9083\") \\\n",
    "    .enableHiveSupport() \\\n",
    "    .getOrCreate()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad32953a-29b5-4871-9d1b-5d73dce4be52",
   "metadata": {},
   "source": [
    "### 4.2 从Hive表中读取数据\n",
    "\n",
    "连接到Hive后，可以直接使用SparkSession的 `sql` 方法执行Hive查询，或者使用 `table` 方法读取整个Hive表。这里我们直接读取之前清洗后的Hive表 `ecommerce_cleaned`。并创建临时视图`data`，便于后续分析。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "65378ab5-e5c6-4190-b01f-d16426c47c1e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "清洗后数据集大小: 406829\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# 从Hive表中读取清洗后的数据\n",
    "df = spark_hive.table(\"ecommerce_cleaned\")\n",
    "\n",
    "# 创建临时视图用于后续分析\n",
    "df.createOrReplaceTempView(\"data\")\n",
    "\n",
    "# 查看数据集大小\n",
    "print(f\"清洗后数据集大小: {df.count()}\")\n",
    "\n",
    "# 打印数据集的schema（可选）\n",
    "# df.printSchema()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0812f5fa-ff93-408c-a11e-74e374efa842",
   "metadata": {},
   "source": [
    "**解释说明:**\n",
    "\n",
    "*   `spark.table(\"ecommerce_cleaned\")`: 从Hive中读取名为 `ecommerce_cleaned` 的表，返回一个DataFrame。\n",
    "*   `df.createOrReplaceTempView(\"data\")`: 创建一个临时视图 `data`，这样就可以在后续的Spark SQL查询中像操作表一样操作这个DataFrame，与原案例保持一致。\n",
    "*   注释掉的部分是原案例中用于验证数据读取和schema的代码，您可以根据需要取消注释执行。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84a768c2-f356-4cb0-8103-81df5d6ad6a1",
   "metadata": {},
   "source": [
    "### 4.3 使用pyspark进行数据分析与可视化\n",
    "\n",
    "接下来使用pyspark实现各项数据分析任务，任选三个完成即可，要求编码完成相关的题目需求，并使用matplotlib实现数据的可视化。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97812625-5687-40ce-9693-0e8c642ef996",
   "metadata": {},
   "source": [
    "#### （1）客户数最多的10个国家\n",
    "\n",
    "统计每个国家（`Country`）的唯一客户数（`CustomerID`），并按客户数降序排列，取前10个国家。\n",
    "\n",
    "```python\n",
    "def countryCustomer(spark):\n",
    "    \"\"\"\n",
    "    统计客户数最多的10个国家\n",
    "\n",
    "    Args:\n",
    "        spark: SparkSession实例\n",
    "\n",
    "    Returns:\n",
    "        list: 客户数最多的10个国家及其客户数列表\n",
    "    \"\"\"\n",
    "    countryCustomerDF = spark.sql(\"SELECT Country,COUNT(DISTINCT CustomerID) AS countOfCustomer FROM data GROUP BY Country ORDER BY countOfCustomer DESC LIMIT 10\")\n",
    "    return countryCustomerDF.collect()\n",
    "```\n",
    "\n",
    "**解释说明:**\n",
    "\n",
    "*   `spark.sql(...)`: 在Spark中执行SQL查询，这里查询的是基于临时视图 `data` 的数据。\n",
    "*   `SELECT Country,COUNT(DISTINCT CustomerID) AS countOfCustomer`: 选择国家和唯一客户数的计数，并将计数命名为 `countOfCustomer`。\n",
    "*   `FROM data`: 从临时视图 `data` 中查询数据。\n",
    "*   `GROUP BY Country`: 按国家进行分组。\n",
    "*   `ORDER BY countOfCustomer DESC`: 按客户数降序排序。\n",
    "*   `LIMIT 10`: 限制结果只返回前10条记录。\n",
    "*   `.collect()`: 将DataFrame的结果收集到Driver端的Python列表中。\n",
    "\n",
    "#### （2）销量最高的10个国家\n",
    "\n",
    "统计每个国家（`Country`）的总销量（`Quantity`），并按总销量降序排列，取前10个国家。\n",
    "\n",
    "```python\n",
    "def countryQuantity(spark):\n",
    "    \"\"\"\n",
    "    统计销量最高的10个国家\n",
    "\n",
    "    Args:\n",
    "        spark: SparkSession实例\n",
    "\n",
    "    Returns:\n",
    "        list: 销量最高的10个国家及其销量列表\n",
    "    \"\"\"\n",
    "    countryQuantityDF = spark.sql(\"SELECT Country,SUM(Quantity) AS sumOfQuantity FROM data GROUP BY Country ORDER BY sumOfQuantity DESC LIMIT 10\")\n",
    "    return countryQuantityDF.collect()\n",
    "```\n",
    "\n",
    "**解释说明:**\n",
    "\n",
    "*   `SELECT Country,SUM(Quantity) AS sumOfQuantity`: 选择国家和总销量的求和，并将求和命名为 `sumOfQuantity`。\n",
    "*   `SUM(Quantity)`: 计算总销量，由于退货数量为负，求和可以正确反映净销量。\n",
    "*   其余部分的解释与上一个函数类似。\n",
    "\n",
    "#### （3）各个国家的总销售额分布情况\n",
    "\n",
    "统计每个国家（`Country`）的总销售额（`UnitPrice * Quantity`），并计算总销售额。\n",
    "\n",
    "```python\n",
    "def countrySumOfPrice(spark):\n",
    "    \"\"\"\n",
    "    统计各个国家的总销售额分布情况\n",
    "\n",
    "    Args:\n",
    "        spark: SparkSession实例\n",
    "\n",
    "    Returns:\n",
    "        list: 各个国家及其总销售额列表\n",
    "    \"\"\"\n",
    "    countrySumOfPriceDF = spark.sql(\"SELECT Country,SUM(UnitPrice*Quantity) AS sumOfPrice FROM data GROUP BY Country\")\n",
    "    return countrySumOfPriceDF.collect()\n",
    "```\n",
    "\n",
    "**解释说明:**\n",
    "\n",
    "*   `SELECT Country,SUM(UnitPrice*Quantity) AS sumOfPrice`: 选择国家和单价乘以销量的总和，并将总和命名为 `sumOfPrice`。\n",
    "*   `SUM(UnitPrice*Quantity)`: 计算总销售额，考虑了退货（Quantity为负）的情况。\n",
    "*   这里没有 `ORDER BY` 和 `LIMIT`，因为需要统计所有国家的销售额分布。\n",
    "\n",
    "#### （4）销量最高的10个商品\n",
    "\n",
    "统计每个商品编码（`StockCode`）的总销量（`Quantity`），并按总销量降序排列，取前10个商品。\n",
    "\n",
    "```python\n",
    "def stockQuantity(spark):\n",
    "    \"\"\"\n",
    "    统计销量最高的10个商品\n",
    "\n",
    "    Args:\n",
    "        spark: SparkSession实例\n",
    "\n",
    "    Returns:\n",
    "        list: 销量最高的10个商品及其销量列表\n",
    "    \"\"\"\n",
    "    stockQuantityDF = spark.sql(\"SELECT StockCode,SUM(Quantity) AS sumOfQuantity FROM data GROUP BY StockCode ORDER BY sumOfQuantity DESC LIMIT 10\")\n",
    "    return stockQuantityDF.collect()\n",
    "```\n",
    "\n",
    "**解释说明:**\n",
    "\n",
    "*   `SELECT StockCode,SUM(Quantity) AS sumOfQuantity`: 选择商品编码和总销量的求和，并将求和命名为 `sumOfQuantity`。\n",
    "*   `GROUP BY StockCode`: 按商品编码进行分组。\n",
    "*   其余部分的解释与统计国家销量类似。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff6b2f86-fc37-4cb0-bbf6-a125ee762696",
   "metadata": {},
   "source": [
    "## 作业区域\n",
    "\n",
    "在这里完成作业的代码逻辑与可视化代码，请使用markdown单元格给出所完成题目的标题。每道题目要求提供相关代码，并给出数据可视化的图表（matplotlib 图表默认不支持中文，中文显示的bug请自行处理，作业不要求使用中文展示）\n",
    "\n",
    "完整案例如下所示："
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f807f9ff",
   "metadata": {},
   "source": [
    "#### （1）客户数最多的10个国家"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2c72555a-a44e-4055-9026-c53c0503dcec",
   "metadata": {},
   "outputs": [],
   "source": [
    "def countryCustomer(spark):\n",
    "    \"\"\"\n",
    "    统计客户数最多的10个国家\n",
    "\n",
    "    Args:\n",
    "        spark: SparkSession实例\n",
    "\n",
    "    Returns:\n",
    "        list: 客户数最多的10个国家及其客户数列表\n",
    "    \"\"\"\n",
    "    countryCustomerDF = spark.sql(\"SELECT Country,COUNT(DISTINCT CustomerID) AS countOfCustomer FROM data GROUP BY Country ORDER BY countOfCustomer DESC LIMIT 10\")\n",
    "    return countryCustomerDF.collect()\n",
    "\n",
    "result = countryCustomer(spark_hive)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "930ec9c7-4871-4674-a0ff-98220f5a104e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "# 数据可视化\n",
    "countries = [row['Country'] for row in result]\n",
    "customer_counts = [row['countOfCustomer'] for row in result]\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.bar(countries, customer_counts)\n",
    "plt.xlabel(\"country\")\n",
    "plt.ylabel(\"Customer number\")\n",
    "plt.title(\"Top 10 countries with the most customers\")\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  }
 ],
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